Built for RevOps

CPQ you can own, configure, and run yourself.

You shouldn't need to file a ticket to change a discount rule. quortix.ai treats the rules engine as a RevOps skill, not an IT project — so the people who own revenue strategy can also operate the system that executes it.

You
own the rules, not a consultant
Plain language
to author and edit logic
Visual
dependency graph for every change

The rules engine is a RevOps skill, not an IT task

Legacy CPQ split ownership in two: RevOps decided the strategy, and a certified admin or consultant translated it into rules. Every change went through that handoff. quortix.ai collapses it. You describe the rule — a new tier, a constraint, an approval threshold — and an AI agent connected over MCP drafts it; you review it on a visual canvas and ship it. The competence stays in-house.

  • Author constraints, pricing, and eligibility rules without scripting.
  • See the live dependency graph before you ship a change.
  • Test rules against real configurations in a built-in simulator.

Self-sufficiency, by design

The whole point is that you stop waiting. Pricing changes mid-quarter? Make them. New product line? Stand it up. Deal-desk threshold needs tuning? Edit it and watch the impact. No SOW, no ticket queue, no certified-admin bottleneck between you and the system you're accountable for.

Strategy moves up the stack

When authoring stops being the bottleneck, your attention moves to the work that actually matters: pricing strategy, deal review thresholds, partner programs, and margin governance. RevOps stops being a translator between the business and the CPQ team and starts owning the outcome directly.

Common questions

Do I need engineering to make changes?

No. The visual rules engine, plus AI agents connected over MCP, are designed for business users. Engineering is for integrations and edge cases, not day-to-day pricing and packaging.

How do I keep governance with this much flexibility?

Changes are inspectable and testable before they ship: visual dependency graphs, a rules simulator, and audit trails keep flexibility and control in balance.

Who this is for

RevOps leaders who want to own their quoting stack end-to-end.

Get a demoTry the ROI calculator